RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 18-Jun-2021 10:40:31 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/2_msa/Q8WXF7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/3_mltree/Q8WXF7 --seed 2 --threads 6 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (6 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/2_msa/Q8WXF7_trimmed_msa.fasta
[00:00:00] Loaded alignment with 602 taxa and 526 sites

WARNING: Sequences tr_A0A2I3HDV1_A0A2I3HDV1_NOMLE_61853 and tr_G3SF18_G3SF18_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3HDV1_A0A2I3HDV1_NOMLE_61853 and sp_Q6DD88_ATLA3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2Z073_A0A2I2Z073_GORGO_9595 and sp_Q5R4P1_ATLA1_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2Z073_A0A2I2Z073_GORGO_9595 and tr_H2R3T9_H2R3T9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2Z073_A0A2I2Z073_GORGO_9595 and sp_Q8WXF7_ATLA1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2P6G6_H2P6G6_PONAB_9601 and tr_A0A2I3MLJ6_A0A2I3MLJ6_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2P6G6_H2P6G6_PONAB_9601 and tr_A0A2K5LKU9_A0A2K5LKU9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_Q29BY7_Q29BY7_DROPS_46245 and tr_B4GPG3_B4GPG3_DROPE_7234 are exactly identical!
WARNING: Sequences tr_F1Q4H4_F1Q4H4_CANLF_9615 and tr_M3WXA3_M3WXA3_FELCA_9685 are exactly identical!
WARNING: Sequences tr_A0A158NBV9_A0A158NBV9_ATTCE_12957 and tr_A0A195BG18_A0A195BG18_9HYME_520822 are exactly identical!
WARNING: Sequences tr_F6X4P5_F6X4P5_MACMU_9544 and tr_A0A2I3LHZ9_A0A2I3LHZ9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6X4P5_F6X4P5_MACMU_9544 and tr_A0A0D9RRJ9_A0A0D9RRJ9_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6X4P5_F6X4P5_MACMU_9544 and tr_A0A2K5NQU0_A0A2K5NQU0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6X4P5_F6X4P5_MACMU_9544 and tr_A0A2K6DW08_A0A2K6DW08_MACNE_9545 are exactly identical!
WARNING: Sequences tr_B3S6E0_B3S6E0_TRIAD_10228 and tr_A0A369SLW9_A0A369SLW9_9METZ_287889 are exactly identical!
WARNING: Sequences tr_A0A044TMD0_A0A044TMD0_ONCVO_6282 and tr_A0A182DXW2_A0A182DXW2_ONCOC_42157 are exactly identical!
WARNING: Sequences tr_A0A0V0VPY2_A0A0V0VPY2_9BILA_181606 and tr_A0A0V0ZYC9_A0A0V0ZYC9_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V0VPY2_A0A0V0VPY2_9BILA_181606 and tr_A0A0V1PBQ4_A0A0V1PBQ4_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V0VPY2_A0A0V0VPY2_9BILA_181606 and tr_A0A0V0TYT3_A0A0V0TYT3_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A2D0Q6J6_A0A2D0Q6J6_ICTPU_7998 and tr_A0A2D0Q7P7_A0A2D0Q7P7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5M929_A0A2K5M929_CERAT_9531 and tr_A0A2K6CE89_A0A2K6CE89_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2K5M929_A0A2K5M929_CERAT_9531 and tr_A0A2K5ZXE4_A0A2K5ZXE4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U4AEU4_A0A2U4AEU4_TURTR_9739 and tr_A0A2Y9MV85_A0A2Y9MV85_DELLE_9749 are exactly identical!
WARNING: Duplicate sequences found: 23

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/3_mltree/Q8WXF7.raxml.reduced.phy

Alignment comprises 1 partitions and 526 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 526 / 526
Gaps: 15.78 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/3_mltree/Q8WXF7.raxml.rba

Parallelization scheme autoconfig: 3 worker(s) x 2 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 602 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 263 / 21040
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -413761.825987] Initial branch length optimization
[00:00:07 -330809.181776] Model parameter optimization (eps = 10.000000)
[00:03:14 -329956.852668] AUTODETECT spr round 1 (radius: 5)
[00:09:10 -244016.111249] AUTODETECT spr round 2 (radius: 10)
[00:11:39 -195030.242165] AUTODETECT spr round 3 (radius: 15)
[00:14:57 -173389.357756] AUTODETECT spr round 4 (radius: 20)
[00:17:58 -162919.593306] AUTODETECT spr round 5 (radius: 25)
[00:22:12 -161275.228916] SPR radius for FAST iterations: 25 (autodetect)
[00:22:12 -161275.228916] Model parameter optimization (eps = 3.000000)
[00:22:48 -160873.911844] FAST spr round 1 (radius: 25)
[00:26:20 -145187.418136] FAST spr round 2 (radius: 25)
[00:28:55 -144085.599750] FAST spr round 3 (radius: 25)
[00:31:05 -144004.631427] FAST spr round 4 (radius: 25)
[00:34:24 -143998.176112] FAST spr round 5 (radius: 25)
[00:37:29 -143995.019005] FAST spr round 6 (radius: 25)
[00:40:28 -143995.017314] Model parameter optimization (eps = 1.000000)
[00:41:28 -143983.064882] SLOW spr round 1 (radius: 5)
[00:46:22 -143956.099000] SLOW spr round 2 (radius: 5)
[00:50:54 -143951.523211] SLOW spr round 3 (radius: 5)
[00:55:47 -143946.582666] SLOW spr round 4 (radius: 5)
[01:00:26 -143945.927589] SLOW spr round 5 (radius: 5)
[01:04:55 -143945.926889] SLOW spr round 6 (radius: 10)
[01:09:59 -143940.789134] SLOW spr round 7 (radius: 5)
[01:15:58 -143936.234689] SLOW spr round 8 (radius: 5)
[01:21:13 -143934.846893] SLOW spr round 9 (radius: 5)
[01:26:07 -143934.846012] SLOW spr round 10 (radius: 10)
[01:31:24 -143934.845880] SLOW spr round 11 (radius: 15)
[01:41:56 -143934.845835] SLOW spr round 12 (radius: 20)
[01:48:54] [worker #2] ML tree search #3, logLikelihood: -143916.795175
[01:58:26 -143934.845817] SLOW spr round 13 (radius: 25)
[02:17:36 -143934.845809] Model parameter optimization (eps = 0.100000)

[02:17:59] [worker #0] ML tree search #1, logLikelihood: -143934.014341

[02:17:59 -413842.408235] Initial branch length optimization
[02:18:59 -331970.724404] Model parameter optimization (eps = 10.000000)
[02:21:36 -331128.934310] AUTODETECT spr round 1 (radius: 5)
[02:25:26 -249872.429289] AUTODETECT spr round 2 (radius: 10)
[02:29:13] [worker #1] ML tree search #2, logLikelihood: -143901.058533
[02:30:02 -197646.471496] AUTODETECT spr round 3 (radius: 15)
[02:42:03 -168259.617674] AUTODETECT spr round 4 (radius: 20)
[02:48:44 -159426.998719] AUTODETECT spr round 5 (radius: 25)
[03:02:38 -159018.417850] SPR radius for FAST iterations: 25 (autodetect)
[03:02:38 -159018.417850] Model parameter optimization (eps = 3.000000)
[03:03:54 -158584.202865] FAST spr round 1 (radius: 25)
[03:11:26 -144421.090297] FAST spr round 2 (radius: 25)
[03:16:36 -144003.877775] FAST spr round 3 (radius: 25)
[03:20:53 -143972.115955] FAST spr round 4 (radius: 25)
[03:24:15 -143968.766737] FAST spr round 5 (radius: 25)
[03:27:20 -143968.765540] Model parameter optimization (eps = 1.000000)
[03:28:01 -143964.177991] SLOW spr round 1 (radius: 5)
[03:33:23 -143940.760720] SLOW spr round 2 (radius: 5)
[03:38:24 -143939.090016] SLOW spr round 3 (radius: 5)
[03:43:13 -143938.790488] SLOW spr round 4 (radius: 5)
[03:47:51 -143938.789871] SLOW spr round 5 (radius: 10)
[03:52:53 -143935.993837] SLOW spr round 6 (radius: 5)
[03:58:52 -143935.993399] SLOW spr round 7 (radius: 10)
[04:04:58 -143935.993389] SLOW spr round 8 (radius: 15)
[04:14:17 -143932.494726] SLOW spr round 9 (radius: 5)
[04:20:44 -143930.808628] SLOW spr round 10 (radius: 5)
[04:26:23 -143930.489098] SLOW spr round 11 (radius: 5)
[04:31:23 -143930.489026] SLOW spr round 12 (radius: 10)
[04:36:49 -143928.646507] SLOW spr round 13 (radius: 5)
[04:42:58 -143927.977042] SLOW spr round 14 (radius: 5)
[04:47:54 -143927.974010] SLOW spr round 15 (radius: 10)
[04:51:39 -143927.973977] SLOW spr round 16 (radius: 15)
[04:58:15 -143927.973968] SLOW spr round 17 (radius: 20)
[05:01:46] [worker #2] ML tree search #6, logLikelihood: -143911.480482
[05:05:08 -143927.973965] SLOW spr round 18 (radius: 25)
[05:20:22 -143927.855361] SLOW spr round 19 (radius: 5)
[05:25:30 -143927.636939] SLOW spr round 20 (radius: 5)
[05:29:56 -143927.629239] SLOW spr round 21 (radius: 10)
[05:45:45 -143927.627744] SLOW spr round 22 (radius: 15)
[05:53:11 -143927.627449] SLOW spr round 23 (radius: 20)
[06:04:08 -143927.627390] SLOW spr round 24 (radius: 25)
[06:12:36] [worker #1] ML tree search #5, logLikelihood: -143926.087607
[06:17:40 -143927.627378] Model parameter optimization (eps = 0.100000)

[06:18:04] [worker #0] ML tree search #4, logLikelihood: -143926.149831

[06:18:04 -410747.070618] Initial branch length optimization
[06:18:19 -330139.318022] Model parameter optimization (eps = 10.000000)
[06:20:19 -328926.033637] AUTODETECT spr round 1 (radius: 5)
[06:26:36 -250806.793134] AUTODETECT spr round 2 (radius: 10)
[06:30:14 -192441.275844] AUTODETECT spr round 3 (radius: 15)
[06:33:21 -175806.726435] AUTODETECT spr round 4 (radius: 20)
[06:37:20 -160347.921748] AUTODETECT spr round 5 (radius: 25)
[06:42:04 -159286.769253] SPR radius for FAST iterations: 25 (autodetect)
[06:42:04 -159286.769253] Model parameter optimization (eps = 3.000000)
[06:43:04 -158756.788454] FAST spr round 1 (radius: 25)
[06:46:33 -144497.414559] FAST spr round 2 (radius: 25)
[06:48:58 -143994.822849] FAST spr round 3 (radius: 25)
[06:50:28 -143969.636987] FAST spr round 4 (radius: 25)
[06:52:05 -143969.633979] Model parameter optimization (eps = 1.000000)
[06:52:24 -143957.149081] SLOW spr round 1 (radius: 5)
[06:54:53 -143926.380010] SLOW spr round 2 (radius: 5)
[06:57:17 -143924.280616] SLOW spr round 3 (radius: 5)
[06:59:23 -143922.432759] SLOW spr round 4 (radius: 5)
[07:01:03 -143922.432351] SLOW spr round 5 (radius: 10)
[07:02:58 -143917.847166] SLOW spr round 6 (radius: 5)
[07:06:15 -143915.838695] SLOW spr round 7 (radius: 5)
[07:07:45] [worker #2] ML tree search #9, logLikelihood: -143930.007546
[07:09:20 -143913.998019] SLOW spr round 8 (radius: 5)
[07:11:28 -143913.850288] SLOW spr round 9 (radius: 5)
[07:13:16 -143913.849582] SLOW spr round 10 (radius: 10)
[07:15:42 -143913.647752] SLOW spr round 11 (radius: 5)
[07:18:24 -143913.647120] SLOW spr round 12 (radius: 10)
[07:20:57 -143913.647018] SLOW spr round 13 (radius: 15)
[07:25:21 -143913.646991] SLOW spr round 14 (radius: 20)
[07:32:19 -143913.646982] SLOW spr round 15 (radius: 25)
[07:39:48] [worker #1] ML tree search #8, logLikelihood: -143929.346787
[07:43:05 -143913.646979] Model parameter optimization (eps = 0.100000)

[07:43:17] [worker #0] ML tree search #7, logLikelihood: -143913.044667

[07:43:17 -410159.932128] Initial branch length optimization
[07:43:28 -326197.702660] Model parameter optimization (eps = 10.000000)
[07:44:46 -325319.685012] AUTODETECT spr round 1 (radius: 5)
[07:49:37 -250647.346778] AUTODETECT spr round 2 (radius: 10)
[07:52:39 -207989.604592] AUTODETECT spr round 3 (radius: 15)
[07:54:42 -182908.619571] AUTODETECT spr round 4 (radius: 20)
[07:58:36 -165197.228122] AUTODETECT spr round 5 (radius: 25)
[08:04:34 -164240.819835] SPR radius for FAST iterations: 25 (autodetect)
[08:04:34 -164240.819835] Model parameter optimization (eps = 3.000000)
[08:05:13 -163755.299232] FAST spr round 1 (radius: 25)
[08:08:20 -145037.736778] FAST spr round 2 (radius: 25)
[08:10:47 -144043.143145] FAST spr round 3 (radius: 25)
[08:12:53 -143978.286109] FAST spr round 4 (radius: 25)
[08:14:49 -143974.168620] FAST spr round 5 (radius: 25)
[08:16:13 -143974.167263] Model parameter optimization (eps = 1.000000)
[08:16:33 -143965.581736] SLOW spr round 1 (radius: 5)
[08:19:12 -143933.167109] SLOW spr round 2 (radius: 5)
[08:21:47 -143924.391224] SLOW spr round 3 (radius: 5)
[08:24:48 -143918.443362] SLOW spr round 4 (radius: 5)
[08:27:47 -143917.243311] SLOW spr round 5 (radius: 5)
[08:30:48 -143917.242823] SLOW spr round 6 (radius: 10)
[08:32:42] [worker #2] ML tree search #12, logLikelihood: -143916.361760
[08:32:58 -143916.591563] SLOW spr round 7 (radius: 5)
[08:36:26 -143916.572219] SLOW spr round 8 (radius: 10)
[08:40:59 -143916.572195] SLOW spr round 9 (radius: 15)
[08:48:07 -143916.572188] SLOW spr round 10 (radius: 20)
[08:57:09 -143916.572186] SLOW spr round 11 (radius: 25)
[09:08:52 -143916.572185] Model parameter optimization (eps = 0.100000)

[09:09:01] [worker #0] ML tree search #10, logLikelihood: -143916.504628

[09:09:02 -414139.478979] Initial branch length optimization
[09:09:10 -333156.999395] Model parameter optimization (eps = 10.000000)
[09:09:21] [worker #1] ML tree search #11, logLikelihood: -143921.918752
[09:10:40 -332340.785980] AUTODETECT spr round 1 (radius: 5)
[09:14:48 -257476.116758] AUTODETECT spr round 2 (radius: 10)
[09:18:21 -197958.251818] AUTODETECT spr round 3 (radius: 15)
[09:20:41 -175060.980838] AUTODETECT spr round 4 (radius: 20)
[09:24:43 -164189.312331] AUTODETECT spr round 5 (radius: 25)
[09:29:30 -161359.959382] SPR radius for FAST iterations: 25 (autodetect)
[09:29:30 -161359.959382] Model parameter optimization (eps = 3.000000)
[09:30:18 -160867.876365] FAST spr round 1 (radius: 25)
[09:34:33 -144848.759732] FAST spr round 2 (radius: 25)
[09:37:04 -144097.633814] FAST spr round 3 (radius: 25)
[09:38:21] [worker #2] ML tree search #15, logLikelihood: -143916.333647
[09:40:02 -143974.973063] FAST spr round 4 (radius: 25)
[09:41:42 -143972.598329] FAST spr round 5 (radius: 25)
[09:43:09 -143972.597402] Model parameter optimization (eps = 1.000000)
[09:43:29 -143968.853888] SLOW spr round 1 (radius: 5)
[09:47:00 -143925.920422] SLOW spr round 2 (radius: 5)
[09:49:15 -143918.982607] SLOW spr round 3 (radius: 5)
[09:51:36 -143918.516184] SLOW spr round 4 (radius: 5)
[09:53:56 -143918.515883] SLOW spr round 5 (radius: 10)
[09:56:25 -143914.717525] SLOW spr round 6 (radius: 5)
[09:59:56 -143914.709475] SLOW spr round 7 (radius: 10)
[10:04:37 -143914.707878] SLOW spr round 8 (radius: 15)
[10:09:08 -143914.707529] SLOW spr round 9 (radius: 20)
[10:17:59 -143914.707442] SLOW spr round 10 (radius: 25)
[10:26:56 -143914.707415] Model parameter optimization (eps = 0.100000)

[10:27:10] [worker #0] ML tree search #13, logLikelihood: -143914.188067

[10:27:10 -413244.313230] Initial branch length optimization
[10:27:16 -328650.281403] Model parameter optimization (eps = 10.000000)
[10:28:19 -327785.136884] AUTODETECT spr round 1 (radius: 5)
[10:32:48 -249674.030670] AUTODETECT spr round 2 (radius: 10)
[10:36:17 -203561.598956] AUTODETECT spr round 3 (radius: 15)
[10:41:13 -171893.371724] AUTODETECT spr round 4 (radius: 20)
[10:46:09 -161806.680896] AUTODETECT spr round 5 (radius: 25)
[10:47:01] [worker #1] ML tree search #14, logLikelihood: -143914.556755
[10:51:49 -159884.770298] SPR radius for FAST iterations: 25 (autodetect)
[10:51:49 -159884.770298] Model parameter optimization (eps = 3.000000)
[10:52:32 -159336.060511] FAST spr round 1 (radius: 25)
[10:58:19 -144598.092740] FAST spr round 2 (radius: 25)
[11:00:56 -144036.877497] FAST spr round 3 (radius: 25)
[11:03:05 -143979.004129] FAST spr round 4 (radius: 25)
[11:04:31 -143969.507390] FAST spr round 5 (radius: 25)
[11:05:23] [worker #2] ML tree search #18, logLikelihood: -143923.503185
[11:06:40 -143967.439355] FAST spr round 6 (radius: 25)
[11:08:27 -143967.437587] Model parameter optimization (eps = 1.000000)
[11:08:50 -143960.475998] SLOW spr round 1 (radius: 5)
[11:11:16 -143939.108100] SLOW spr round 2 (radius: 5)
[11:13:25 -143933.678638] SLOW spr round 3 (radius: 5)
[11:15:30 -143933.230231] SLOW spr round 4 (radius: 5)
[11:17:36 -143933.230229] SLOW spr round 5 (radius: 10)
[11:20:20 -143931.020678] SLOW spr round 6 (radius: 5)
[11:23:17 -143925.240002] SLOW spr round 7 (radius: 5)
[11:25:58 -143923.267338] SLOW spr round 8 (radius: 5)
[11:28:24 -143922.042864] SLOW spr round 9 (radius: 5)
[11:30:26 -143921.217206] SLOW spr round 10 (radius: 5)
[11:32:25 -143921.216289] SLOW spr round 11 (radius: 10)
[11:35:03 -143921.216089] SLOW spr round 12 (radius: 15)
[11:40:39 -143921.216020] SLOW spr round 13 (radius: 20)
[11:44:08] [worker #1] ML tree search #17, logLikelihood: -143921.667323
[11:47:26 -143921.215994] SLOW spr round 14 (radius: 25)
[11:53:52 -143921.215983] Model parameter optimization (eps = 0.100000)

[11:54:07] [worker #0] ML tree search #16, logLikelihood: -143921.107892

[11:54:07 -414238.857759] Initial branch length optimization
[11:54:13 -332341.754860] Model parameter optimization (eps = 10.000000)
[11:55:09 -331434.204760] AUTODETECT spr round 1 (radius: 5)
[11:56:50 -252868.718548] AUTODETECT spr round 2 (radius: 10)
[11:58:55 -207208.626849] AUTODETECT spr round 3 (radius: 15)
[12:01:02 -185981.184020] AUTODETECT spr round 4 (radius: 20)
[12:03:36 -165748.130308] AUTODETECT spr round 5 (radius: 25)
[12:06:45 -161772.695375] SPR radius for FAST iterations: 25 (autodetect)
[12:06:45 -161772.695375] Model parameter optimization (eps = 3.000000)
[12:07:42 -161233.926568] FAST spr round 1 (radius: 25)
[12:10:18 -144790.757455] FAST spr round 2 (radius: 25)
[12:11:53 -144036.542464] FAST spr round 3 (radius: 25)
[12:13:15 -143979.537851] FAST spr round 4 (radius: 25)
[12:14:32 -143959.278599] FAST spr round 5 (radius: 25)
[12:15:38 -143958.311205] FAST spr round 6 (radius: 25)
[12:16:42 -143958.311149] Model parameter optimization (eps = 1.000000)
[12:16:57 -143942.430606] SLOW spr round 1 (radius: 5)
[12:18:41 -143913.976477] SLOW spr round 2 (radius: 5)
[12:20:20 -143913.791644] SLOW spr round 3 (radius: 5)
[12:21:56 -143913.791301] SLOW spr round 4 (radius: 10)
[12:23:46 -143912.198155] SLOW spr round 5 (radius: 5)
[12:25:55 -143910.174614] SLOW spr round 6 (radius: 5)
[12:27:55 -143906.194102] SLOW spr round 7 (radius: 5)
[12:29:39 -143905.587665] SLOW spr round 8 (radius: 5)
[12:31:17 -143905.587223] SLOW spr round 9 (radius: 10)
[12:33:05 -143905.587135] SLOW spr round 10 (radius: 15)
[12:36:42 -143905.587106] SLOW spr round 11 (radius: 20)
[12:42:49 -143905.587095] SLOW spr round 12 (radius: 25)
[12:46:57] [worker #1] ML tree search #20, logLikelihood: -143923.683094
[12:52:02 -143905.587091] Model parameter optimization (eps = 0.100000)

[12:52:15] [worker #0] ML tree search #19, logLikelihood: -143903.806142


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.200403,0.480281) (0.183016,0.745404) (0.340739,0.741704) (0.275842,1.865565) 
   Base frequencies (model): 
M0: 0.147383 0.017579 0.058208 0.017707 0.026331 0.041582 0.017494 0.027859 0.011849 0.076971 0.147823 0.019535 0.037132 0.029940 0.008059 0.088179 0.089653 0.006477 0.032308 0.097931 
M1: 0.063139 0.066357 0.011586 0.066571 0.010800 0.009276 0.053984 0.146986 0.034214 0.088822 0.098196 0.032390 0.021263 0.072697 0.016761 0.020711 0.020797 0.025463 0.045615 0.094372 
M2: 0.062457 0.066826 0.049332 0.065270 0.006513 0.041231 0.058965 0.080852 0.028024 0.037024 0.075925 0.064131 0.019620 0.028710 0.104579 0.056388 0.062027 0.008241 0.033124 0.050760 
M3: 0.106471 0.074171 0.044513 0.096390 0.002148 0.066733 0.158908 0.037625 0.020691 0.014608 0.028797 0.105352 0.007864 0.007477 0.083595 0.055726 0.047711 0.003975 0.010088 0.027159 
   Substitution rates (model): 
M 0: 0.295719 0.067388 0.253712 1.029289 0.107964 0.514644 10.868848 0.380498 0.084223 0.086976 0.188789 0.286389 0.155567 1.671061 2.132922 0.529591 0.115551 0.102453 0.916683 0.448317 0.457483 0.576016 1.741924 0.736017 0.704334 5.658311 0.123387 0.221777 93.433377 0.382175 0.235965 6.535048 0.525521 0.303537 0.641259 0.289466 0.102065 2.358429 0.251987 0.216561 0.503084 0.435271 4.873453 0.090748 0.033310 0.746537 0.128905 0.127321 0.904011 0.939733 0.435450 0.046646 0.262076 0.043986 0.189008 0.599450 109.901504 1.070052 5.229858 0.052764 0.021407 0.621146 0.081091 0.205164 5.164456 0.747330 0.308078 0.260889 0.185083 0.080708 0.029955 0.084794 1.862626 0.553477 0.151733 0.230320 0.096955 0.352526 0.590018 0.386853 1.559564 0.606648 0.587531 0.592318 0.885230 4.117654 0.246260 6.508329 0.054187 0.195703 1.669092 0.810168 0.066081 2.437439 0.165666 0.106333 0.093417 0.035149 0.072549 1.202023 1.634845 0.060194 0.069359 2.448827 0.232297 0.064822 3.537387 0.435384 0.290413 0.280695 0.105999 0.206603 0.404968 0.048984 0.069963 0.256662 0.228519 0.241077 4.320442 3.656545 0.290216 0.307466 0.096556 0.306067 0.204296 0.504221 1.991533 0.655465 6.799829 11.291065 0.961142 0.448965 6.227274 20.304886 0.205944 1.495537 0.091940 1.994320 0.754940 0.170343 0.050315 0.372166 0.206332 0.097050 5.381403 0.122332 3.256485 2.261319 0.848067 0.064441 0.102493 0.459041 0.133091 0.561215 0.457430 0.163849 5.260446 0.360946 0.389413 0.033291 0.115301 0.112593 1.559944 0.426508 0.132547 0.498634 0.559069 0.264728 0.693307 0.438856 0.306683 0.109129 18.392863 66.647302 0.400021 4.586081 2.099355 0.411347 0.476350 0.584622 3.634276 0.101797 0.148995 0.089177 0.034710 0.063603 0.755865 20.561407 0.133790 0.154902 
M 1: 0.066142 0.590377 0.069930 9.850951 1.101363 0.150375 0.568586 0.051668 0.127170 0.292429 0.071458 1.218562 0.075144 7.169085 30.139501 13.461692 0.021372 0.045779 4.270235 0.468325 0.013688 0.302287 1.353957 0.028386 0.037750 0.262130 0.016923 0.064289 0.855973 0.079621 0.011169 0.161937 0.276530 0.161053 0.081472 0.036742 0.030342 2.851667 3.932151 8.159169 0.219934 0.421974 2.468752 0.344765 0.210724 1.172204 0.763553 0.082464 0.726566 11.149790 4.782635 0.058046 0.498072 0.258487 0.146882 0.249672 0.560142 0.046719 0.106259 0.003656 0.004200 0.014189 0.009876 0.002656 0.040244 0.267322 0.053740 0.006597 0.027639 0.012745 0.582670 0.005035 0.275844 0.098208 0.445038 1.217010 0.033969 1.988516 0.681161 0.825960 18.762977 11.949233 0.286794 0.534219 4.336817 3.054085 0.129551 4.210126 0.165753 1.088704 1.889645 3.344809 0.111063 2.067758 3.547017 2.466507 0.188236 0.203493 0.281953 0.037250 0.029788 0.008541 0.014768 0.125869 0.056702 0.004186 0.110993 0.201148 0.139705 0.009201 0.012095 0.043812 0.013513 0.002533 0.005848 0.031390 0.021612 0.004854 0.129497 0.976631 0.053397 0.019475 0.004964 0.015539 0.031779 0.064558 0.065585 0.079927 0.095591 0.196886 0.408834 0.126088 0.037226 0.452302 0.016212 7.278994 0.029917 7.918203 0.450964 0.169797 0.104288 1.578530 0.015909 0.094365 16.179952 0.042762 14.799537 1.506485 0.637893 0.123793 0.641351 0.154810 0.140750 3.416059 0.259400 0.009457 0.090576 0.292108 0.297913 0.017172 0.021976 0.032578 1.375871 0.457399 0.598048 4.418398 0.239749 0.168432 2.950318 0.143327 0.328689 0.125011 0.562720 1.414883 0.227807 3.478333 2.984862 0.061299 0.077470 1.050562 13.974326 0.154326 0.224675 0.112000 0.060703 0.123480 5.294490 0.447011 0.033381 0.045528 
M 2: 0.733336 0.558955 0.503360 4.149599 1.415369 1.367574 1.263002 0.994098 0.517204 0.775054 0.763094 1.890137 0.540460 0.200122 4.972745 1.825593 0.450842 0.526135 3.839269 0.597671 0.058964 2.863355 2.872594 0.258365 0.366868 2.578946 0.358350 0.672023 5.349861 0.691594 0.063347 0.032875 0.821562 0.580847 0.661866 0.265730 0.395134 5.581680 1.279881 1.335650 0.397108 1.840061 5.739035 0.284730 0.109781 1.612642 0.466979 0.141582 0.019509 4.670980 1.967383 0.088064 0.581928 0.145401 0.225860 0.434096 2.292917 1.024707 0.821921 0.027824 0.021443 0.088850 0.060820 0.018288 0.042687 1.199607 0.420710 0.037642 0.141233 0.090101 1.043232 0.209978 0.823594 3.039380 1.463390 1.983693 0.397640 2.831098 4.102068 0.059723 5.901348 2.034980 2.600668 5.413080 4.193725 4.534772 0.377181 4.877840 0.370939 1.298542 3.509873 2.646440 0.087872 0.072299 1.139018 0.864479 0.390688 0.322761 0.625409 0.496780 0.532488 0.232460 0.169219 0.755219 0.379926 0.020447 0.023282 0.503875 0.577513 0.109318 0.153776 0.696533 0.398817 0.008940 0.043707 0.436013 0.087640 0.064863 0.036426 1.673207 0.124068 0.218118 0.039217 0.104335 0.349195 0.838324 0.888693 0.488389 1.385133 0.050226 0.962470 0.502294 1.065585 8.351808 0.377304 5.102837 0.561690 7.010411 3.054968 0.039318 0.204155 2.653232 0.564368 0.854294 15.559906 0.401070 8.929538 5.525874 0.067505 0.273372 0.437116 1.927515 0.940458 2.508169 1.357738 0.043394 0.023126 0.567639 1.048288 0.120994 0.180650 0.449074 3.135353 0.012695 0.570771 2.319555 1.856122 0.975427 3.404087 0.015631 0.458799 0.151684 4.154750 11.429924 1.457957 0.233109 0.077004 0.011074 0.026268 0.052132 8.113282 0.377578 0.429221 0.260296 0.222293 0.273138 2.903836 4.731579 0.564762 0.681215 
M 3: 0.658412 0.566269 0.854111 0.884454 1.309554 1.272639 1.874713 0.552007 0.227683 0.581512 0.695190 0.967985 0.344015 0.978992 3.427163 2.333253 0.154701 0.221089 2.088785 0.540749 0.058015 5.851132 2.294145 0.182966 0.684164 3.192521 0.528161 1.128882 3.010922 1.012866 0.227296 0.156635 0.878405 0.802754 0.830884 0.431617 0.456530 3.060574 1.279257 1.438430 0.431464 2.075952 4.840271 0.644656 0.266076 2.084975 0.720060 0.291854 0.028961 4.071574 2.258357 0.073037 1.238426 0.199728 0.160296 0.482619 2.992763 1.296206 0.841829 0.031467 0.048542 0.132774 0.133055 0.056045 0.209188 0.925172 0.360522 0.094591 0.313945 0.118104 0.992259 0.086318 2.149634 5.103188 3.775817 3.954021 0.190734 1.776095 4.495841 0.264277 7.063879 2.221150 3.017954 8.558815 4.310199 2.130054 0.571406 4.137385 0.437589 2.071689 2.498630 1.763546 0.116381 0.296578 1.033710 1.283423 0.312579 0.305772 0.681277 0.507160 0.351381 0.189152 0.217780 0.767361 0.278392 0.092075 0.177263 0.451893 0.653836 0.074620 0.181992 0.752277 0.679853 0.025780 0.082005 0.326441 0.343977 0.195877 0.217424 3.057583 0.377558 0.401252 0.072258 0.241015 0.665865 1.266791 0.680174 0.717301 4.001286 0.362942 1.189259 0.964545 1.350568 12.869737 0.531100 8.904999 0.652629 10.091413 2.671718 0.086367 0.359932 4.797423 0.336801 1.021885 23.029406 0.440178 14.013035 5.069337 0.539010 0.742569 0.780580 1.331875 1.531589 4.414850 1.082703 0.091278 0.172734 0.693405 1.422571 0.068958 0.163829 0.481711 4.643214 0.121821 0.584083 4.216178 1.677263 1.575754 5.046403 0.161015 1.531223 0.599244 5.832025 33.873091 1.914768 1.287474 0.444362 0.076328 0.079916 0.466823 5.231362 0.548763 0.831890 0.382271 0.208791 0.307846 3.717971 5.910440 0.282540 0.964421 


Final LogLikelihood: -143901.058533

AIC score: 290216.117066 / AICc score: 3206328.117066 / BIC score: 295364.335630
Free parameters (model + branch lengths): 1207

WARNING: Number of free parameters (K=1207) is larger than alignment size (n=526).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/3_mltree/Q8WXF7.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/3_mltree/Q8WXF7.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/3_mltree/Q8WXF7.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q8WXF7/3_mltree/Q8WXF7.raxml.log

Analysis started: 18-Jun-2021 10:40:31 / finished: 18-Jun-2021 23:32:46

Elapsed time: 46335.239 seconds